Top Roadblock in Implementing Machine Learning\Artificial Intelligence - Datasets

70-90% of the challenges in implementing any Machine Learning\Artificial Intelligence is Technical debt. The top challenge is finding quality data and sample data, here are the top free & paid data sources which will help address this recurring challenge,

• Kaggle - https://www.kaggle.com/datasets/

• UCI Machine Learning - https://archive.ics.uci.edu/ml/datasets/

• Amazon AWS - https://registry.opendata.aws/

• Google - https://cloud.google.com/bigquery/public-data/

• GitHub - https://github.com/BuzzFeedNews/everything

• Data Gov - https://catalog.data.gov/dataset

• Quandl - https://demo.quandl.com/

• Opendatasoft - https://data.opendatasoft.com/pages/home/

My TEAM and I found UCI & Kaggle to be on the top with realistic data.

References